Abstract:Although massively parallel sequencing has facilitated large-scale DNA sequencing, comparisons among distantly related species rely upon small portions of the genome that are easily aligned. Methods are needed to efficiently obtain comparable DNA fragments prior to massively parallel sequencing, particularly for biologists working with non-model organisms. We introduce a new class of molecular marker, anchored by ultraconserved genomic elements (UCEs), that universally enable target enrichment and sequencing o… Show more
“…Because UCEs are conserved across most vertebrate groups [20] and found in groups including yeast and insects [19], our framework is generalizable beyond this study and relevant to resolving ancient phylogenetic enigmas throughout the tree of life [28]. This approach to highthroughput phylogenomics-based on thousands of loci-is likely to fundamentally change the way that systematists gather and analyse data.…”
Section: Discussionmentioning
confidence: 99%
“…We also used each alignment to estimate gene trees incorporating 1000 multi-locus bootstrap replicates, which we integrated into STEAC and STAR [24] species trees. Additional details concerning UCE sequence capture methods and phylogenetic methods are available in Faircloth et al [20].…”
We present the first genomic-scale analysis addressing the phylogenetic position of turtles, using over 1000 loci from representatives of all major reptile lineages including tuatara. Previously, studies of morphological traits positioned turtles either at the base of the reptile tree or with lizards, snakes and tuatara (lepidosaurs), whereas molecular analyses typically allied turtles with crocodiles and birds (archosaurs). A recent analysis of shared microRNA families found that turtles are more closely related to lepidosaurs. To test this hypothesis with data from many single-copy nuclear loci dispersed throughout the genome, we used sequence capture, high-throughput sequencing and published genomes to obtain sequences from 1145 ultraconserved elements (UCEs) and their variable flanking DNA. The resulting phylogeny provides overwhelming support for the hypothesis that turtles evolved from a common ancestor of birds and crocodilians, rejecting the hypothesized relationship between turtles and lepidosaurs.
“…Because UCEs are conserved across most vertebrate groups [20] and found in groups including yeast and insects [19], our framework is generalizable beyond this study and relevant to resolving ancient phylogenetic enigmas throughout the tree of life [28]. This approach to highthroughput phylogenomics-based on thousands of loci-is likely to fundamentally change the way that systematists gather and analyse data.…”
Section: Discussionmentioning
confidence: 99%
“…We also used each alignment to estimate gene trees incorporating 1000 multi-locus bootstrap replicates, which we integrated into STEAC and STAR [24] species trees. Additional details concerning UCE sequence capture methods and phylogenetic methods are available in Faircloth et al [20].…”
We present the first genomic-scale analysis addressing the phylogenetic position of turtles, using over 1000 loci from representatives of all major reptile lineages including tuatara. Previously, studies of morphological traits positioned turtles either at the base of the reptile tree or with lizards, snakes and tuatara (lepidosaurs), whereas molecular analyses typically allied turtles with crocodiles and birds (archosaurs). A recent analysis of shared microRNA families found that turtles are more closely related to lepidosaurs. To test this hypothesis with data from many single-copy nuclear loci dispersed throughout the genome, we used sequence capture, high-throughput sequencing and published genomes to obtain sequences from 1145 ultraconserved elements (UCEs) and their variable flanking DNA. The resulting phylogeny provides overwhelming support for the hypothesis that turtles evolved from a common ancestor of birds and crocodilians, rejecting the hypothesized relationship between turtles and lepidosaurs.
“…Recently developed methodologies such as restriction site‐associated DNA sequencing (RAD‐seq, Miller et al., 2007) and target capture using ultraconserved elements (UCEs, Faircloth et al., 2012) or anchored hybrid enrichment (AHE, Lemmon, Emme, & Lemmon, 2012) now allow researchers to obtain reduced representation genomic coverage across many individuals. All three types of data collection have been shown to be appropriate for phylogeographic‐level studies of vertebrates, including RAD‐seq (Manthey & Moyle, 2015), UCEs (Smith et al., 2013), and AHE (Brandley et al., 2015), suggesting these methods’ ability to resolve the evolutionary history of A. carolinensis .…”
The green anole (Anolis carolinensis) is a lizard widespread throughout the southeastern United States and is a model organism for the study of reproductive behavior, physiology, neural biology, and genomics. Previous phylogeographic studies of A. carolinensis using mitochondrial DNA and small numbers of nuclear loci identified conflicting and poorly supported relationships among geographically structured clades; these inconsistencies preclude confident use of A. carolinensis evolutionary history in association with morphological, physiological, or reproductive biology studies among sampling localities and necessitate increased effort to resolve evolutionary relationships among natural populations. Here, we used anchored hybrid enrichment of hundreds of genetic markers across the genome of A. carolinensis and identified five strongly supported phylogeographic groups. Using multiple analyses, we produced a fully resolved species tree, investigated relative support for each lineage across all gene trees, and identified mito‐nuclear discordance when comparing our results to previous studies. We found fixed differences in only one clade—southern Florida restricted to the Everglades region—while most polymorphisms were shared between lineages. The southern Florida group likely diverged from other populations during the Pliocene, with all other diversification during the Pleistocene. Multiple lines of support, including phylogenetic relationships, a latitudinal gradient in genetic diversity, and relatively more stable long‐term population sizes in southern phylogeographic groups, indicate that diversification in A. carolinensis occurred northward from southern Florida.
“…The era of using genome-scale data to reconstruct the evolutionary history of organismal groups has recently begun (Alföldi et al 2011;Faircloth et al 2012;McCormack et al 2012;Jarvis et al 2014;Prum et al 2015). Due to the increasing numbers of whole-genome data sets that are publicly available, it is now straightforward to use in silico methods to discover and design hundreds or thousands of new loci such as "anonymous loci" (ALs) (Karl and Avise 1993;Peng et al 2009;Wenzel and Piertney 2015), exon-primed intron-crossing or "EPIC" loci (Palumbi and Baker 1994;Li et al 2010), conserved nuclear exon loci (Li et al 2007), anchored enrichment "AE" loci Lemmon and Lemmon 2013), and ultraconserved element "UCE" loci McCormack et al 2012) for use in phylogenomic studies.…”
mentioning
confidence: 99%
“…Due to the increasing numbers of whole-genome data sets that are publicly available, it is now straightforward to use in silico methods to discover and design hundreds or thousands of new loci such as "anonymous loci" (ALs) (Karl and Avise 1993;Peng et al 2009;Wenzel and Piertney 2015), exon-primed intron-crossing or "EPIC" loci (Palumbi and Baker 1994;Li et al 2010), conserved nuclear exon loci (Li et al 2007), anchored enrichment "AE" loci Lemmon and Lemmon 2013), and ultraconserved element "UCE" loci McCormack et al 2012) for use in phylogenomic studies. Once loci are designed, NGS target-capture methods are employed to obtain orthologous sequences from many different individuals or species (e.g., Faircloth et al 2012;, which results in data sets with orders of magnitude more loci than in previous years.…”
The increasing availability of complete genome data is facilitating the acquisition of phylogenomic data sets, but the process of obtaining orthologous sequences from other genomes and assembling multiple sequence alignments remains piecemeal and arduous. We designed software that performs these tasks and outputs anonymous loci (AL) or anchored enrichment/ ultraconserved element loci (AE/UCE) data sets in ready-to-analyze formats. We demonstrate our program by applying it to the hominoids. Starting with human, chimpanzee, gorilla, and orangutan genomes, our software generated an exhaustive data set of 292 ALs (∼1 kb each) in ∼3 h. Not only did analyses of our AL data set validate the program by yielding a portrait of hominoid evolution in agreement with previous studies, but the accuracy and precision of our estimated ancestral effective population sizes and speciation times represent improvements. We also used our program with a published set of 512 vertebrate-wide AE "probe" sequences to generate data sets consisting of 171 and 242 independent loci (∼1 kb each) in 11 and 13 min, respectively. The former data set consisted of flanking sequences 500 bp from adjacent AEs, while the latter contained sequences bordering AEs. Although our AE data sets produced the expected hominoid species tree, coalescent-based estimates of ancestral population sizes and speciation times based on these data were considerably lower than estimates from our AL data set and previous studies. Accordingly, we suggest that loci subjected to direct or indirect selection may not be appropriate for coalescent-based methods. Complete in silico approaches, combined with the burgeoning genome databases, will accelerate the pace of phylogenomics.
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